TensorFlow 课程可以帮助您学习神经网络、深度学习技术和模型部署策略。您可以掌握数据预处理、超参数调整和性能评估方面的技能。许多课程都会介绍用于构建模型的 Keras、用于可视化的 TensorBoard 等工具,以及用于将 AI 集成到应用程序中的各种 API。

Microsoft
您将获得的技能: 分类算法, 机器学习, 模型部署, 负责任的人工智能, Virtual Machine, Scikit-learn (机器学习库), MLOps(机器学习 Operator), 模型评估, 监督学习, 数据管道, 预测建模, 回归分析, 无监督学习, 应用机器学习, 微软 Azure, 人工智能和机器学习(AI/ML), 数据库
中级 · 课程 · 1-4 周

您将获得的技能: Model Deployment, Google Cloud Platform, Dataflow, Data Pipelines, Data Warehousing, Data Lakes, Real Time Data, Data Processing, Dashboard, Cloud Engineering, Tensorflow, Data Infrastructure, Data Preprocessing, Apache Spark, Big Data, Extract, Transform, Load, Query Languages, Cloud Storage, Scripting Languages, PySpark
中级 · 专项课程 · 3-6 个月

Google Cloud
您将获得的技能: Feature Engineering, Data Preprocessing, Tensorflow, MLOps (Machine Learning Operations), Dataflow, Data Transformation, Applied Machine Learning, Data Modeling, Keras (Neural Network Library), Machine Learning, Deep Learning
中级 · 课程 · 1-3 个月

您将获得的技能: Decision Tree Learning, Data Preprocessing, Data Transformation, Supervised Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Classification Algorithms, Model Evaluation, Pandas (Python Package)
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)
初级 · 专项课程 · 1-3 个月

Google Cloud
您将获得的技能: Feature Engineering, Data Preprocessing, Tensorflow, MLOps (Machine Learning Operations), Model Evaluation, Dataflow, Data Store, Keras (Neural Network Library), Data Transformation, Data Modeling, Machine Learning
中级 · 课程 · 1-3 个月

Microsoft
您将获得的技能: 机器学习, 数据科学, 深度学习, 模型部署, 负责任的人工智能, 预测建模, MLOps(机器学习 Operator), 数据预处理, 模型评估, 应用机器学习, 微软 Azure, 数据库, 人工智能和机器学习(AI/ML)
中级 · 课程 · 1-3 个月

您将获得的技能: Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Hugging Face, Deep Learning, Large Language Modeling, Transfer Learning, Convolutional Neural Networks, Text Mining, Semantic Web, Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Python Programming, Cryptography, Classification Algorithms, Probability Distribution, Machine Learning Algorithms, Data Processing, Algorithms
中级 · 专项课程 · 3-6 个月

您将获得的技能: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Tensorflow, Predictive Modeling, Dimensionality Reduction, Classification Algorithms, Time Series Analysis and Forecasting, Model Evaluation
高级设置 · 课程 · 1-3 个月

Packt
您将获得的技能: Recurrent Neural Networks (RNNs), Model Evaluation, Apache Spark, Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Natural Language Processing, AWS SageMaker, Scalability, Applied Machine Learning, Supervised Learning, Dimensionality Reduction, Machine Learning, Pandas (Python Package), Predictive Modeling, Autoencoders, Python Programming, Time Series Analysis and Forecasting, Data Manipulation
中级 · 专项课程 · 3-6 个月

您将获得的技能: Deep Learning, Tensorflow, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Keras (Neural Network Library), Artificial Intelligence, Recurrent Neural Networks (RNNs), Machine Learning Methods, Natural Language Processing, Python Programming, Serverless Computing, Machine Learning, Data Processing
中级 · 课程 · 1-4 周

Pearson
您将获得的技能: Deep Learning, Convolutional Neural Networks, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Tensorflow, Python Programming, Data Preprocessing, Network Architecture, Classification Algorithms, Model Evaluation, Regression Analysis
中级 · 课程 · 1-4 周